Social Media Commentary Management Using Typology Benchmarking

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Solution Overview

Problem

In social networking environments, managing increasing amounts of commentary data efficiently is challenging, particularly in identifying relevant themes and organizing media content to facilitate communication, as users often face delays in viewing audio and video content before submitting new comments.

Innovation Solution

A system analyzes media clips in a social networking environment using commentary typology criteria to determine benchmark typology data, which includes criteria such as smile, eye focus, and speech pace, to identify themes and trends, allowing for the organization and alignment of new media content with existing content, and providing users with alignment scores to improve communication efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If media content is manually reviewed before posting, then communication accuracy is improved, but user productivity deteriorates due to delays

Engineering Contradiction:

Improvecommunication accuracyVSAvoiduser productivity

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The system performs preliminary analysis of media content attributes (smile, eye focus, speech pace) before the user posts the content. Benchmark typology data is established in advance, and alignment scores are pre-calculated, allowing users to post content immediately without manual review delays while maintaining communication accuracy through automated pre-screening

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces manual mechanical review processes with automated computational analysis. Computer vision and audio processing algorithms automatically evaluate media content attributes and calculate alignment scores, substituting human reviewers with machine-based systems that provide instant feedback without sacrificing accuracy

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Loss of information

If all media content is stored and transmitted, then information completeness is improved, but bandwidth consumption increases

Engineering Contradiction:

Improveinformation completenessVSAvoidbandwidth consumption

Core Design Contradiction:

Loss of informationVSLoss of energy

Solution Approach 1:

The system extracts and transmits only essential alignment score data and typology metadata rather than complete media content. By separating the critical informational element (alignment score) from the full media file, the system maintains information completeness for conversation flow while dramatically reducing bandwidth consumption

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent transforms media content evaluation from a full-content analysis into a dimensional reduction problem, where complex media attributes are projected onto a simplified alignment score dimension. This allows the system to capture essential information in a compressed form that requires minimal bandwidth for transmission

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

3Measurement precision

If comprehensive commentary analysis is performed, then theme identification accuracy is improved, but processing complexity increases

Engineering Contradiction:

Improvetheme identification accuracyVSAvoidprocessing complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments comprehensive commentary analysis into distinct, independent attribute evaluations (smile detection, eye focus analysis, speech pace measurement). Each attribute is analyzed separately using specialized algorithms, then combined to form the overall alignment score, reducing processing complexity while maintaining theme identification accuracy

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent transforms the complex theme identification problem into a parameter-based evaluation system. By defining specific measurable parameters (smile presence, eye focus duration, speech pace variations), the system converts qualitative theme analysis into quantitative parameter comparisons against benchmark typology data, simplifying the processing required for accurate theme identification

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS11372911B2Commentary management in a social networking environment which includes a set of media clips

Publication Date: 2022.06.28 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

Disclosed aspects relate to commentary management in a social networking environment. The social networking environment may include a set of media clips. The set of media clips may be analyzed in the social networking environment with respect to a set of commentary typology data. Based on the analyzing, a set of benchmark typology data which indicates a set of commentary norms of the set of media clips may be determined. A set of benchmark typology data may be established for utilization by the social networking environment.